Software systems draw on our knowledge of the universe and the disciplines that study it. Our software architectures will benefit from drawing on other disciplines.
This document discusses various topics related to simulating biological processes through artificial intelligence techniques. It covers simulation, biological behaviors, artificial intelligence, artificial life, swarm intelligence, genetic algorithms, neural networks, and how the internet could be viewed as an artificial brain. Examples and brief definitions are provided for many of these topics.
This document discusses various topics related to using biological processes and artificial intelligence to simulate natural systems. It covers simulation, biological behaviors like fish schools and bird flocks, artificial intelligence, artificial life, swarm intelligence which uses algorithms like ant colony optimization and artificial immune systems, genetic algorithms, neural networks, and proposes that the internet could be considered an artificial brain.
Social and political preconditions of Russian nationalism in UkraineOlga Obersht
The body off the article goes on to discuss the features of the social and political development on subordinate of Russia Ukrainian territories, which led to the emergence of Russian nationalism. In article were considered key aspects of imperial power in the Ukrainian lands in the second half of the nineteenth century, as one of the main reasons for the spread of Russian nationalist ideas. By publication emphasizes on ways of counteraction the Russian national project to the Ukrainian and Polish nations projects in Ukraine in the second half of the nineteenth century
This document discusses systems thinking and key concepts related to systems. It defines systems thinking as the cognitive process of studying and understanding systems of any kind by examining the linkages and interactions between interconnected components. A system is defined as a set of elements organized in a structure that produces characteristic behaviors. Key components of systems include elements, interconnections, and function. The document contrasts System 1 and System 2 thinking and provides examples. It emphasizes that systems thinking is needed to address problems created by more simplistic levels of thinking.
This chapter introduces key concepts related to innovation and systems thinking. It defines innovation as an idea perceived as new by an individual or organization. It then discusses different approaches to innovation like NARS, AKIS, and agricultural innovation systems. It explains that agricultural innovation systems view knowledge generation as involving diverse actors like farmers, researchers, and policymakers. The chapter also defines a system as interrelated, interdependent components working together towards a common goal. It outlines properties of systems and categorizes systems as natural, social, or artificial. Finally, it contrasts positivist and constructivist scientific paradigms.
Slides for "Intro to Systems Thinking" workshop. Session details and resources available here: http://pwoessner.wikispaces.com/Introduction+to+Systems+Thinking
The document discusses awareness in autonomous systems. It covers general properties of self-awareness like perception and collectivity. It also discusses the short-term impacts of self-awareness like safety and sustainability and long-term open issues. Key aspects of self-awareness are levels ranging from ecological to conceptual awareness. Distributed emergence of self-awareness is possible through collective systems though parts exhibit less awareness. Internal models are important for self-aware systems to represent themselves and environments to test possibilities.
This document discusses various topics related to simulating biological processes through artificial intelligence techniques. It covers simulation, biological behaviors, artificial intelligence, artificial life, swarm intelligence, genetic algorithms, neural networks, and how the internet could be viewed as an artificial brain. Examples and brief definitions are provided for many of these topics.
This document discusses various topics related to using biological processes and artificial intelligence to simulate natural systems. It covers simulation, biological behaviors like fish schools and bird flocks, artificial intelligence, artificial life, swarm intelligence which uses algorithms like ant colony optimization and artificial immune systems, genetic algorithms, neural networks, and proposes that the internet could be considered an artificial brain.
Social and political preconditions of Russian nationalism in UkraineOlga Obersht
The body off the article goes on to discuss the features of the social and political development on subordinate of Russia Ukrainian territories, which led to the emergence of Russian nationalism. In article were considered key aspects of imperial power in the Ukrainian lands in the second half of the nineteenth century, as one of the main reasons for the spread of Russian nationalist ideas. By publication emphasizes on ways of counteraction the Russian national project to the Ukrainian and Polish nations projects in Ukraine in the second half of the nineteenth century
This document discusses systems thinking and key concepts related to systems. It defines systems thinking as the cognitive process of studying and understanding systems of any kind by examining the linkages and interactions between interconnected components. A system is defined as a set of elements organized in a structure that produces characteristic behaviors. Key components of systems include elements, interconnections, and function. The document contrasts System 1 and System 2 thinking and provides examples. It emphasizes that systems thinking is needed to address problems created by more simplistic levels of thinking.
This chapter introduces key concepts related to innovation and systems thinking. It defines innovation as an idea perceived as new by an individual or organization. It then discusses different approaches to innovation like NARS, AKIS, and agricultural innovation systems. It explains that agricultural innovation systems view knowledge generation as involving diverse actors like farmers, researchers, and policymakers. The chapter also defines a system as interrelated, interdependent components working together towards a common goal. It outlines properties of systems and categorizes systems as natural, social, or artificial. Finally, it contrasts positivist and constructivist scientific paradigms.
Slides for "Intro to Systems Thinking" workshop. Session details and resources available here: http://pwoessner.wikispaces.com/Introduction+to+Systems+Thinking
The document discusses awareness in autonomous systems. It covers general properties of self-awareness like perception and collectivity. It also discusses the short-term impacts of self-awareness like safety and sustainability and long-term open issues. Key aspects of self-awareness are levels ranging from ecological to conceptual awareness. Distributed emergence of self-awareness is possible through collective systems though parts exhibit less awareness. Internal models are important for self-aware systems to represent themselves and environments to test possibilities.
These are the slides which I used is a 3 day workshop which I gave to university students in Brazil. Any feedback, and additional material that I could use (text, pictures, cartoons or videos), very gratefully received.
PatternDynamics Operating System Workbook v3.5.2Tim Winton
A bottom-up approach to creating more open, adaptive, innovative self-organising groups. This Operating System is an alternative to, and compliment for, other progressive organisational practices like Holocracy, Lean, and Agile. Its focus is on helping individuals learn practices and skills that promote emergent solutions and better collaborative decision making.
Systems thinking is a holistic approach to analysis that focuses on the way that a system's constituent parts interrelate and how systems work over time and within the context of larger systems. The document discusses systems thinking approaches like considering causal loops and flows within systems. It provides an example of how applying pesticides to reduce crop damage from one insect can have unintended consequences by disrupting the natural controls on other insect populations. The document advocates using systems modeling and a strategic outlook to better understand complex problems and their systemic causes.
Multi-Agent Modelling With applications to robotics and cognitionAladdin Ayesh
This document summarizes a keynote talk on multi-agent modeling and its applications to robotics and cognition. The talk discusses what constitutes an agent and examines cognition from the perspectives of senses, thinking, emotions, and cognitive architectures. It also explores two types of agent embodiment: robots, which impose challenges related to physical limitations and neurology; and avatars, which raise questions about virtual bodies. The talk aims to bring together different areas of research in developing cognitive systems and modeling human behavior.
شناسایی ائتلاف استراتژیک بهینه با در نظر گرفتن نقش نوآوری باز در طنجیره تامین...PouyaMahdiani1
The Disaster Resilience of Place (DROP) model examines how organizations and communities prepare for, respond to, and recover from disasters. Organizations and communities that exhibit low vulnerability and high resilience tend to recover quickly from disasters and use experiences to improve preparedness. Those with high vulnerability and low resilience often recover slowly or not at all. The concept of resilience originated in ecology and has two aspects - engineering resilience focuses on resistance and speed of return to the pre-disaster equilibrium, while ecological resilience emphasizes adaptation, transformation if needed, and the ability to thrive in a new context after a disturbance.
The document discusses systems thinking and various systems thinking concepts and tools. It defines systems thinking as examining how problems are created and seeing the big picture by understanding how structure influences system performance. It discusses key systems thinking concepts like complex adaptive systems, feedback loops, stocks and flows. It also outlines different systems thinking tools like causal loop diagrams, stock and flow maps, behavior over time graphs and system archetypes that can help understand complex systems.
1) The document discusses a technique called systemic thinking which combines analytical and synthetical thinking to help understand complex situations. It involves listing elements of a situation and finding common themes or patterns among them.
2) Systemic thinking differs from systematic thinking which is thinking methodically, and systems thinking which is thinking about how things interact. Systemic thinking provides a simple technique to gain a systemic perspective.
3) The document provides an example of how systemic thinking was used to address pricing issues facing a public utility after privatization by identifying the key pattern of treating different customer groups fairly and developing a solution that charged customers differently based on their usage.
Are organizations like brains?
Examines the importance of information process, learning, and intelligence and provides a frame of reference for understanding and assessing modern organizations in these terms. It also provides a set of principles for creating “learning organizations”.
Systems thinking views problems as interconnected parts of a whole system rather than isolated events. It examines how local actions can impact the overall system and promotes organizational communication to avoid unintended consequences. A systems approach incorporates concepts like interdependence, holism, goal seeking, inputs/outputs, and feedback regulation. Businesses can be analyzed as internal systems that transform inputs like capital, labor, and resources into outputs through functional processes. They also interact with multiple levels of external environmental systems from political/legal forces to competitors to social/cultural influences that provide opportunities and threats.
Software Ecosystem Evolution. It's complex!Tom Mens
This document discusses software ecosystems and their complex evolution. It defines a software ecosystem as interdependent software projects that evolve together. Research analyzes ecosystems using ideas from biology and complex systems across disciplines. Ecosystems are huge networks of thousands of interdependent parts and contributors that are difficult to manage and grow superlinearly over time. They exhibit properties of complex networks like following power laws and being small worlds. Simple models can explain ecosystem growth patterns.
This document provides a summary of structural family theory, which examines the unspoken rules within families and how they affect the family's organization. It discusses key concepts of the theory like subsystems, boundaries, and rules. It also reviews literature applying structural family theory to divorced families, emphasizing the importance of clear parent-child roles and establishing a new family structure for the adolescent's well-being.
This document provides information on permaculture principles and design. It discusses 12 permaculture design principles, including observing and interacting, catching and storing energy, and obtaining a yield. It also covers the permaculture ethics of earth care, people care, and fair share. Group guidelines for respectful discussion and participation are outlined. Site analysis categories like sun, wind, water resources are defined for permaculture design.
1The Nature of SuccessClass SeventeenREVIEW!!!!.docxvickeryr87
1
The Nature of Success
Class Seventeen
REVIEW!!!!
Midterm Exam
1. 55 multiple choice questions
2. Testing your fund of knowledge
3. Mainly from lectures, readings that are directly relevant
4. An ‘A’ means an ‘A’
5. Understand the concepts
November 6
3
The Nature of Success
Class One
Introduction and Course Overview
4
Reality is Amorphous
Draw a line around the system boundary
Indicate the most important challenges the system must face
Indicate how the system interacts to face these challenges
What it means to draw that boundary line
You have defined the domain of success/failure that you want to understand.
You have identified the entities inside the boundary that are needed to achieve success (through their interactions). Thus, you have defined your system.
You have identified the entities outside the boundary that will pose the challenges/opportunities that must be managed by the system for the achievement of success.
You understand that it is the information that comes in from the outside entities and is processed by the inside entities – according to an established set of rules – that defines the functioning of the system.
The systems use of this established set of rules is based on the system’s working model of reality.
Core Ideas
Once a system’s purpose/aims and boundaries are known, then we have to understand the system’s structure and function.
A system’s structure describes the entities contained by the system and the particular way they are organized.
A system’s function describes how the entities interact with each other and how these interactions form the emergent properties of the system.
Emergent properties: The whole is greater than the sum of its parts.
Remarkably, a great variety of different systems have similar structural and functional characteristics.
Understanding these commonalities will make our work much easier.
Once we get all this we will see that Complex Systems – no matter how complex – usually follow a small number of simple rules.
If we can understand the rules of the Complex System containing a domain of success we care about, then we understand the rules that lead to the domain of success we care about.
6
7
The Nature of Success
Class Two
System Observations
8
The Nature of Success
Class Three
What is a System?
Our Basic System Model
Pattern of Emergent
Behavior
Observed Regularities
Behavior of System Elements
Positive
Feedback
Negative
Feedback
Responding to Ever-Changing
Environment
Key Points re Systems
System Boundaries: what’s in and what’s out
System components: what are the entities that comprise the inside of the system?
System interactions: what governs the behavior about how the systems entities interact with each other?
System purpose: What is the system ‘trying’ to accomplish? What does success and failure mean related to this definition of purpose?
System information pr.
Dispositioning Advantage: A Pervert's Guide to Strategy DesignWilliam Evans
Strategy. The identification and exploitation of an opponent’s weakness. Before you can have Strategy Deployment (Policy Deployment, Hoshin Kanri), it tends to reason that you probably need a strategy to deploy. But how do you do that? What are the mechanisms? What are the methods? What are the principles that allow an organization to design a meaningful strategy?
This lively 45 (to 60 minute) romp will introduce you to the history of strategy in organizations (it’s dark, perverse, and full of dragons) from Porter to Rumelt, to Dettmer, and Boyd. Few will remember that in the early days of strategy, there was only one: drive down the experience curve and be the low-cost provider with a stream-lined supply chain. The talk will unpack what strategy actually is and more importantly, what it is not. It will painstakingly deconstruct how the term is ritually abused and misused, and then methodically introduce how strategy is a design problem, but too important to be left to the designers in their plaid shirts, funky glasses, and ernest but ultimately vapid proclamations about human-centered blah blah, validating blah, blah, buzzword bingo verbal diarrhea inventing flaccid constructs like ‘design strategy, content strategy, ux strategy’ and ‘strategic planning’.
The talk will introduce some conceptual frameworks used in military strategy and maneuver warfare, which dates back over 2,300 years to the time of Sun Tzu’s The Art of War. We’ll explore how the time-tested principles of economic and military competition can be applied to social and commercial ventures, such as software and service delivery leading to considerable benefits in coherence, focus. and profit. We’ll then introduces a reasonable, systematic set of methods to help you translate current market uncertainty, fast changing customer needs, and ever-changing technological disruptions into a meaningful strategy and organizational capability ready for Hoshin Kanri.
System Thinking - Affect on Decision MakingMuhammad Awais
The document discusses systems thinking and its impact on decision making. It begins with introductions to systems concepts and definitions of systems thinking. It describes the difference between system 1 and system 2 thinking, with system 1 being fast, automatic thinking and system 2 being slower, effortful thinking. It emphasizes that in today's complex and interconnected world, systems thinking is needed to understand complex problems and avoid unintended consequences of decisions. Systems thinking provides a holistic view rather than a narrow, reductionist view to help make better decisions. The document provides examples of applying systems thinking in various domains and argues it is a new way of thinking needed to address challenges of the current century.
Different Perspective On Organizational CommunicationSol Erwin Diaz
The document discusses different perspectives on organizational communication including the systems perspective. It provides an overview of key aspects of systems theory as applied to organizations, including that a system is made up of interdependent parts, organizations exist within environments they interact with, and goals and processes involve feedback. It compares scientific management and systems theories, noting systems theory focuses more on complexity and relationships between components rather than efficiency.
This document provides an overview of key systems concepts. It defines a system as consisting of interconnected parts that work together towards a common purpose. Open systems are described as interacting with their environment, while closed systems are isolated. Examples of systems include organizations, the human body, and information systems. The document also discusses the importance of feedback, boundaries, environments, and how systems can be classified as open or closed, deterministic or probabilistic.
Many organizations are comfortable using a Time and Materials approach to buying consulting services. This presentation describes Fixed Fee as a procurement option.
MomentumSI Programming Language RecommendationsJeff Schneider
This document provides programming language recommendations from MomentumSI, a consulting and engineering firm. It categorizes languages as Avoid, Risk Averse, Recommended or Special Case. Java and Go are moved to different categories. Java becomes Risk Averse due to success limiting innovation. Go becomes Recommended as a modern, high performance language popular for cloud projects. JavaScript also becomes Recommended for compelling client experiences and mature server technologies like Node.js. The document concludes with contact information for MomentumSI services.
These are the slides which I used is a 3 day workshop which I gave to university students in Brazil. Any feedback, and additional material that I could use (text, pictures, cartoons or videos), very gratefully received.
PatternDynamics Operating System Workbook v3.5.2Tim Winton
A bottom-up approach to creating more open, adaptive, innovative self-organising groups. This Operating System is an alternative to, and compliment for, other progressive organisational practices like Holocracy, Lean, and Agile. Its focus is on helping individuals learn practices and skills that promote emergent solutions and better collaborative decision making.
Systems thinking is a holistic approach to analysis that focuses on the way that a system's constituent parts interrelate and how systems work over time and within the context of larger systems. The document discusses systems thinking approaches like considering causal loops and flows within systems. It provides an example of how applying pesticides to reduce crop damage from one insect can have unintended consequences by disrupting the natural controls on other insect populations. The document advocates using systems modeling and a strategic outlook to better understand complex problems and their systemic causes.
Multi-Agent Modelling With applications to robotics and cognitionAladdin Ayesh
This document summarizes a keynote talk on multi-agent modeling and its applications to robotics and cognition. The talk discusses what constitutes an agent and examines cognition from the perspectives of senses, thinking, emotions, and cognitive architectures. It also explores two types of agent embodiment: robots, which impose challenges related to physical limitations and neurology; and avatars, which raise questions about virtual bodies. The talk aims to bring together different areas of research in developing cognitive systems and modeling human behavior.
شناسایی ائتلاف استراتژیک بهینه با در نظر گرفتن نقش نوآوری باز در طنجیره تامین...PouyaMahdiani1
The Disaster Resilience of Place (DROP) model examines how organizations and communities prepare for, respond to, and recover from disasters. Organizations and communities that exhibit low vulnerability and high resilience tend to recover quickly from disasters and use experiences to improve preparedness. Those with high vulnerability and low resilience often recover slowly or not at all. The concept of resilience originated in ecology and has two aspects - engineering resilience focuses on resistance and speed of return to the pre-disaster equilibrium, while ecological resilience emphasizes adaptation, transformation if needed, and the ability to thrive in a new context after a disturbance.
The document discusses systems thinking and various systems thinking concepts and tools. It defines systems thinking as examining how problems are created and seeing the big picture by understanding how structure influences system performance. It discusses key systems thinking concepts like complex adaptive systems, feedback loops, stocks and flows. It also outlines different systems thinking tools like causal loop diagrams, stock and flow maps, behavior over time graphs and system archetypes that can help understand complex systems.
1) The document discusses a technique called systemic thinking which combines analytical and synthetical thinking to help understand complex situations. It involves listing elements of a situation and finding common themes or patterns among them.
2) Systemic thinking differs from systematic thinking which is thinking methodically, and systems thinking which is thinking about how things interact. Systemic thinking provides a simple technique to gain a systemic perspective.
3) The document provides an example of how systemic thinking was used to address pricing issues facing a public utility after privatization by identifying the key pattern of treating different customer groups fairly and developing a solution that charged customers differently based on their usage.
Are organizations like brains?
Examines the importance of information process, learning, and intelligence and provides a frame of reference for understanding and assessing modern organizations in these terms. It also provides a set of principles for creating “learning organizations”.
Systems thinking views problems as interconnected parts of a whole system rather than isolated events. It examines how local actions can impact the overall system and promotes organizational communication to avoid unintended consequences. A systems approach incorporates concepts like interdependence, holism, goal seeking, inputs/outputs, and feedback regulation. Businesses can be analyzed as internal systems that transform inputs like capital, labor, and resources into outputs through functional processes. They also interact with multiple levels of external environmental systems from political/legal forces to competitors to social/cultural influences that provide opportunities and threats.
Software Ecosystem Evolution. It's complex!Tom Mens
This document discusses software ecosystems and their complex evolution. It defines a software ecosystem as interdependent software projects that evolve together. Research analyzes ecosystems using ideas from biology and complex systems across disciplines. Ecosystems are huge networks of thousands of interdependent parts and contributors that are difficult to manage and grow superlinearly over time. They exhibit properties of complex networks like following power laws and being small worlds. Simple models can explain ecosystem growth patterns.
This document provides a summary of structural family theory, which examines the unspoken rules within families and how they affect the family's organization. It discusses key concepts of the theory like subsystems, boundaries, and rules. It also reviews literature applying structural family theory to divorced families, emphasizing the importance of clear parent-child roles and establishing a new family structure for the adolescent's well-being.
This document provides information on permaculture principles and design. It discusses 12 permaculture design principles, including observing and interacting, catching and storing energy, and obtaining a yield. It also covers the permaculture ethics of earth care, people care, and fair share. Group guidelines for respectful discussion and participation are outlined. Site analysis categories like sun, wind, water resources are defined for permaculture design.
1The Nature of SuccessClass SeventeenREVIEW!!!!.docxvickeryr87
1
The Nature of Success
Class Seventeen
REVIEW!!!!
Midterm Exam
1. 55 multiple choice questions
2. Testing your fund of knowledge
3. Mainly from lectures, readings that are directly relevant
4. An ‘A’ means an ‘A’
5. Understand the concepts
November 6
3
The Nature of Success
Class One
Introduction and Course Overview
4
Reality is Amorphous
Draw a line around the system boundary
Indicate the most important challenges the system must face
Indicate how the system interacts to face these challenges
What it means to draw that boundary line
You have defined the domain of success/failure that you want to understand.
You have identified the entities inside the boundary that are needed to achieve success (through their interactions). Thus, you have defined your system.
You have identified the entities outside the boundary that will pose the challenges/opportunities that must be managed by the system for the achievement of success.
You understand that it is the information that comes in from the outside entities and is processed by the inside entities – according to an established set of rules – that defines the functioning of the system.
The systems use of this established set of rules is based on the system’s working model of reality.
Core Ideas
Once a system’s purpose/aims and boundaries are known, then we have to understand the system’s structure and function.
A system’s structure describes the entities contained by the system and the particular way they are organized.
A system’s function describes how the entities interact with each other and how these interactions form the emergent properties of the system.
Emergent properties: The whole is greater than the sum of its parts.
Remarkably, a great variety of different systems have similar structural and functional characteristics.
Understanding these commonalities will make our work much easier.
Once we get all this we will see that Complex Systems – no matter how complex – usually follow a small number of simple rules.
If we can understand the rules of the Complex System containing a domain of success we care about, then we understand the rules that lead to the domain of success we care about.
6
7
The Nature of Success
Class Two
System Observations
8
The Nature of Success
Class Three
What is a System?
Our Basic System Model
Pattern of Emergent
Behavior
Observed Regularities
Behavior of System Elements
Positive
Feedback
Negative
Feedback
Responding to Ever-Changing
Environment
Key Points re Systems
System Boundaries: what’s in and what’s out
System components: what are the entities that comprise the inside of the system?
System interactions: what governs the behavior about how the systems entities interact with each other?
System purpose: What is the system ‘trying’ to accomplish? What does success and failure mean related to this definition of purpose?
System information pr.
Dispositioning Advantage: A Pervert's Guide to Strategy DesignWilliam Evans
Strategy. The identification and exploitation of an opponent’s weakness. Before you can have Strategy Deployment (Policy Deployment, Hoshin Kanri), it tends to reason that you probably need a strategy to deploy. But how do you do that? What are the mechanisms? What are the methods? What are the principles that allow an organization to design a meaningful strategy?
This lively 45 (to 60 minute) romp will introduce you to the history of strategy in organizations (it’s dark, perverse, and full of dragons) from Porter to Rumelt, to Dettmer, and Boyd. Few will remember that in the early days of strategy, there was only one: drive down the experience curve and be the low-cost provider with a stream-lined supply chain. The talk will unpack what strategy actually is and more importantly, what it is not. It will painstakingly deconstruct how the term is ritually abused and misused, and then methodically introduce how strategy is a design problem, but too important to be left to the designers in their plaid shirts, funky glasses, and ernest but ultimately vapid proclamations about human-centered blah blah, validating blah, blah, buzzword bingo verbal diarrhea inventing flaccid constructs like ‘design strategy, content strategy, ux strategy’ and ‘strategic planning’.
The talk will introduce some conceptual frameworks used in military strategy and maneuver warfare, which dates back over 2,300 years to the time of Sun Tzu’s The Art of War. We’ll explore how the time-tested principles of economic and military competition can be applied to social and commercial ventures, such as software and service delivery leading to considerable benefits in coherence, focus. and profit. We’ll then introduces a reasonable, systematic set of methods to help you translate current market uncertainty, fast changing customer needs, and ever-changing technological disruptions into a meaningful strategy and organizational capability ready for Hoshin Kanri.
System Thinking - Affect on Decision MakingMuhammad Awais
The document discusses systems thinking and its impact on decision making. It begins with introductions to systems concepts and definitions of systems thinking. It describes the difference between system 1 and system 2 thinking, with system 1 being fast, automatic thinking and system 2 being slower, effortful thinking. It emphasizes that in today's complex and interconnected world, systems thinking is needed to understand complex problems and avoid unintended consequences of decisions. Systems thinking provides a holistic view rather than a narrow, reductionist view to help make better decisions. The document provides examples of applying systems thinking in various domains and argues it is a new way of thinking needed to address challenges of the current century.
Different Perspective On Organizational CommunicationSol Erwin Diaz
The document discusses different perspectives on organizational communication including the systems perspective. It provides an overview of key aspects of systems theory as applied to organizations, including that a system is made up of interdependent parts, organizations exist within environments they interact with, and goals and processes involve feedback. It compares scientific management and systems theories, noting systems theory focuses more on complexity and relationships between components rather than efficiency.
This document provides an overview of key systems concepts. It defines a system as consisting of interconnected parts that work together towards a common purpose. Open systems are described as interacting with their environment, while closed systems are isolated. Examples of systems include organizations, the human body, and information systems. The document also discusses the importance of feedback, boundaries, environments, and how systems can be classified as open or closed, deterministic or probabilistic.
Many organizations are comfortable using a Time and Materials approach to buying consulting services. This presentation describes Fixed Fee as a procurement option.
MomentumSI Programming Language RecommendationsJeff Schneider
This document provides programming language recommendations from MomentumSI, a consulting and engineering firm. It categorizes languages as Avoid, Risk Averse, Recommended or Special Case. Java and Go are moved to different categories. Java becomes Risk Averse due to success limiting innovation. Go becomes Recommended as a modern, high performance language popular for cloud projects. JavaScript also becomes Recommended for compelling client experiences and mature server technologies like Node.js. The document concludes with contact information for MomentumSI services.
Tailoring your SDLC for DevOps, Agile and moreJeff Schneider
MomentumSI encourages tailoring an SDLC based on industry best practices and philosophies. The document discusses incorporating practices from Scrum, Test Driven Development, Feature Driven Development, Lean Software Development, Agile Manifesto, Extreme Programming, DevOps, Enterprise SOA Manifesto, Harmony SOA Tenets, OpenUP, Enterprise Unified Process, BABOK, ITIL, PMBOK, and COBIT. The tailored SDLC should provide traceability back to these influences while serving the specific needs of the organization.
Technical debt plagues many software projects - but others are held back by more critical issues. Increase your software delivery efficiency by moving beyond technical debt!
The document discusses DevOps practices in 2013 and provides recommendations. It notes that continuous integration and continuous testing are not well established at most companies. It recommends integrating the DevOps toolchain, architecting and instrumenting systems for operations, embracing open source tools, using cloud infrastructure to enable DevOps practices, and focusing on metrics, SLAs and incentives aligned with DevOps goals. The document is from a consulting firm that offers DevOps assessment and implementation services.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
Nomination are Open!! Don't Miss it
Visit: computer.scifat.com
Award Nomination: https://x-i.me/ishnom
Conference Submission: https://x-i.me/anicon
For Enquiry: Computer@scifat.com
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Project Management: The Role of Project Dashboards.pdfKarya Keeper
Project management is a crucial aspect of any organization, ensuring that projects are completed efficiently and effectively. One of the key tools used in project management is the project dashboard, which provides a comprehensive view of project progress and performance. In this article, we will explore the role of project dashboards in project management, highlighting their key features and benefits.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
The Key to Digital Success_ A Comprehensive Guide to Continuous Testing Integ...kalichargn70th171
In today's business landscape, digital integration is ubiquitous, demanding swift innovation as a necessity rather than a luxury. In a fiercely competitive market with heightened customer expectations, the timely launch of flawless digital products is crucial for both acquisition and retention—any delay risks ceding market share to competitors.
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
2. Observable Mimicry
The Foundational Sciences
Architecture
& Engineering
Organisms
Nature
Organism-
Made Tools
Inspiration for system
design draws on
cross-disciplined
mimicry.
3. Mimicry in Patterns
Common problems and solutions are documented.
Avoid reinventing the wheel.
“Pattern Name”
“Problem::Solution”
“Consequence”
4. Mimicry in Governance
Our method of defining and enforcing policies
mimics social and corporate governance.
“Policies”
“Governing Bodies”
“Approval Workflow”
5. Mimicry in Design
Design principles are
the foundation for our
software architectures.
“Iteration”
“Layering”
“Redundancy”
6. Mimicry in Religion
The gospels of software
development state a preferred
approach for followers.
“Rules”
“Best Practices”
“Tenets”
9. A System
The several ways to think of and define a system include:
• A system is composed of parts.
• All the parts of a system must be related (directly or indirectly), else there are
really two or more distinct systems
• A system is encapsulated, has a boundary.
• The boundary of a system is a decision made by an observer, or a group of
observers.
• A system can be nested inside another system.
• A system can overlap with another system.
• A system is bounded in time.
• A system is bounded in space, though the parts are not necessarily co-located.
• A system receives input from, and sends output into, the wider environment.
• A system consists of processes that transform inputs into outputs.
• A system is autonomous in fulfilling its purpose.
10. Same Type System Coupling
Decoupling is a mechanism for
separating independent systems.
12. Encapsulation
A gastroschisis or omphalocele occurs when a person is born
with their intestines or other internal organs outside their body.
The boundary for self-
containment isn’t always
intuitive.
15. Biomimicry
• Biologically Inspired Design - The
paradigm espouses use of analogies to
biological systems in generating conceptual
designs for technological systems.
• AKA, Biomimetics or biomimicry is the
imitation of the models, systems, and
elements of nature for the purpose of
solving complex human problems.
• Biology is the Template
16. Biomimicry in Software Systems
If you want to create a highly survivable system, don’t give it an off-button.
Let it earn money. Let it spend money.
Let it buy real-estate in the cloud of it’s choice.
Let it move when it desires.
Let it go. Let it evolve.
17. Principles of Autonomic Computing
1. Self-configuration: Automatic configuration of components;
2. Self-healing: Automatic discovery, and correction of faults;
3. Self-optimization: Automatic monitoring and control of resources to
ensure the optimal functioning with respect to the defined
requirements;
4. Self-protection: Proactive identification and protection from arbitrary
attacks.
5. Self-aware: application “knows itself” and is aware of it’s state and
behaviors.
6. Context Aware: aware of its execution environment and able to react to
changes in the environment
7. Open: functions across multiple hardware and software architectures.
8. Anticipatory: anticipates needs and manages itself proactively
18. Multi-Organism Relationships
• Mutualism is a relationship in which both species
benefit.
• In Parasitic relationships one species benefits and the
other suffers.
• Commensalism is a relationship between species in
which one benefits and the other is unaffected.
• Symbiotic relationships can also be classified by the
physical relationship between the two species.
– Endosymbionts live inside the tissues of the host, while
ectosymbionts live outside of their partner species.
20. Within an organism there exists an
encapsulation hierarchy.
Each abstraction unit represents a
field of study.
The boundary between units
represents yet another field of
study.
21. Our software
systems are inspired
by the constructs we
use to make sense of
our world.
We create
hierarchies,
taxonomies,
grammars and
lexicons – entire
fields of study to
provide the building
blocks of our
artificial, digital
worlds.
We are the
omnipotent deities
who strive to mimic
the beauty of the
universe and nature
that surrounds us.
22. Every biologist is, at heart, a chemist.
And every chemist is, at heart, a physicist.
And every physicist is, at heart, a mathematician.
And every mathematician is, at heart a philosopher.
And every philosopher is, at heart, a biologist."
—Anonymous
What is every software developer?
What is your inspiration?
What is your design center?
23. The Universe as Inspiration
Math, Physics, Chemistry
Protective
Structures
Survival Organisms
Nature
Organism-Made Tools
Clothing